Data Engineer (Business Performance)

Company Description

About us

Our vision, to create a better everyday life for the many people, influences everything we do. It’s a vision that lives in the everyday efforts of all co-workers, all over the world. Fulfilling the IKEA vision requires a strong, efficient and sustainable business setup. That's why it's built on a franchise system. The IKEA Franchisor, Inter IKEA Systems B.V., is the worldwide owner of the IKEA Concept, and has the responsibility to ensure that the IKEA Concept stays attractive and competitive while enabling growth and a profitable business for IKEA franchisees.

Take time to explore the IKEA Franchise system here, and read more about us.

Job Description

About the role

To strengthen our Digital Business Solution team, we are looking for Data Engineer’s in our Digital Product team for Business Performance (analytics).

Things you can expect to do in this role, but not limited to:

• Collaborate with cross-functional teams including business analysts, business representatives and data architect to understand the business and data requirements and develop data products to support analytics and business intelligence initiatives.
• Monitor and optimize the performance of data processing systems and infrastructure, identifying bottlenecks and implementing optimizations to improve efficiency and scalability.
• Document data pipelines, workflows, and system architectures, and provide knowledge sharing and training to enable other team members to understand and utilize data engineering tools and processes effectively.
• Assess business requirements for completeness and accuracy and determine if requirements are actionable for ETL (Extraction, Transformation and Load). Work with business/solution owners to close issues and gaps
• Lead the development and validation of data integration (ETL) pipelines needed to ingest/transform data to and from transactional systems and warehouses
• Develop communication content (e.g., release notes) in line with the business needs
• Be responsible for all aspects of integrating, and processing data, including associated data modelling.

About you

• You are curious to explore, eager to learn and energized by sharing. Your drive is to continuously improve the ways of working connected to the developments of our digital solutions. You also have a long-term vision in mind with any actions that you undertake, for example you see that workarounds are just a short-term fix.
• You want to help and support our co-workers to the best of your ability, while at the same time you’re able to balance when to say no and explain the “why”.
• You have the ability to motivate, lead and inspire people (directly and indirectly). You are IT savvy and enjoy working within IT environment. You have an interdependent leadership style and have excellent stake holders and change management skills.
• You analyse and communicate complex issues in a clear, engaging way with a down to earth, simple tone of voice. As such, you are able to build trustful relationships with stakeholders and business partners.

Qualifications

Knowledge, capabilities and motivation

As the ideal candidate we expect you to have minimum of 3 years of data integration experience and the following capabilities:

• Extensive knowledge of GIT as a source control system
• Experience working with Data Bricks & Spark
• Experience in ingesting raw files in cloud native data platform .
• Proficiency in authorization model Azure.
• Setting up authorisation and access control and making sure that the data pipelines are secured.
• Extensive Knowledge of SQL and Python
• Extensive experience working in agile project environments
• Experience in working with building data products on Azure using tools such as data bricks and synapse.
• Proficiency in building ETL pipelines from structured data sources and data warehousing and big data processing
• Extensive knowledge of Data Management concepts. Technical knowledge in database design, data models, and segmentation techniques
• Strong problem solving and analytical skills. Ability to turn preliminary or ambiguous information, ideas, or problems into well-defined plans and solutions

Additional Information

This is a full-time role (40 hours per week) located in Delft, the Netherlands.

3rd February 2025 is the closing date to apply for this role. Please note: Only application including the motivation letter and CV will be considered. Please send your application – CV and motivation – in English and tell us why you would be a good fit. We look forward to hearing from you!